Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …

Recommender systems are software applications that help users to find items of interest in
situations of information overload. Current research often assumes a one-shot interaction …

In recent years, conversational agents (CAs) have become ubiquitous and are a presence in
our daily routines. It seems that the technology has finally ripened to advance the use of CAs …

Dialogue systems have attracted more and more attention. Recent advances on dialogue
systems are overwhelmingly contributed by deep learning techniques, which have been …

Recently, retrieval-augmented text generation attracted increasing attention of the
computational linguistics community. Compared with conventional generation models …

Automatic Question Answering (QA) has been successfully applied in various domains such
as search engines and chatbots. Biomedical QA (BQA), as an emerging QA task, enables …

Multi-turn conversation understanding is a major challenge for building intelligent dialogue
systems. This work focuses on retrieval-based response matching for multi-turn conversation …

With the rapid progress of the semantic web, a huge amount of structured data has become
available on the web in the form of knowledge bases (KBs). Making these data accessible …

The use of natural language interfaces in the field of human-computer interaction (HCI) is
undergoing intense study through dedicated scientific and industrial research. The latest …

Nowadays chatbots have been widely adopted in many industries to automatically answer
users' questions and requests via chat interfaces. While it has become much easier to …